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Sensor Fusion

Sensor fusion is the process of combining sensor data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. [Wikipedia]

Papers

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Showing 91–100 of 509 papers

TitleStatusHype
Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles—0
Proximity operations of CubeSats via sensor fusion of ultra-wideband range measurements with rate gyroscopes, accelerometers and monocular vision—0
Advance and Refinement: The Evolution of UAV Detection and Classification Technologies—0
An innovation-based cycle-slip, multipath estimation, detection and mitigation method for tightly coupled GNSS/INS/Vision navigation in urban areas—0
Bi-capacity Choquet Integral for Sensor Fusion with Label UncertaintyCode0
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer.Code0
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles—0
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